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Science parks: analysis of international experience and development prospects in Ukraine

2024· article· en· W4401407455 on OpenAlexaboutno aff
Вікторія Прохорова, Yuliia Us, Boris Yukhnov, Serhii V. Rudas, Veronika Slastianykova

Bibliographic record

VenueTechnology audit and production reserves · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianQuarter (Canadian coin)Work (physics)Government (linguistics)Process (computing)Plan (archaeology)Political scienceScience parkObject (grammar)World War IIBusinessEngineeringGeographyComputer science

Abstract

fetched live from OpenAlex

The object of the research is the issues related to the creation of science parks in Ukraine at a new level in the process of its post-war reconstruction. In this paper, the main focus is on the analysis of the very concept of «science park» and the experience of some international ones, which are most suitable for the domestic plans for the transformation of the Ukrainian economy and its social infrastructure. Also researched the initiative of the Kharkiv city government to create the so-called «science quarter», which would absorb all the best that exists in the world in the field of science parks, and would have its own «highlight». As a result of this study, it was established that the creation and functioning of science parks is an important component of the modern world economy, which should be given serious attention in the process of post-war transformation of the Ukrainian economy. Moreover, the process of developing a strategy for the construction of such science parks should be started now, without waiting for the end of the war. A good example of this is the start of work on the project to create a science park in Kharkiv called «Science Quarter» as part of the development of a city recovery plan with the help of specialists from various international organizations, universities, banks and funds. The article analyses the activities of some similar science parks in Poland, which can be used as a guide in this process, and provides recommendations for the improvement and enhancement of certain basic elements of the future Kharkiv science park. As a result, it was concluded that thanks to the hard work of the city authorities with the support of international institutions, active work is being done to develop a city reconstruction strategy at a fundamentally new level in Kharkiv, within which a significant place is given to the implementation of the «Science Quarter» project. The success of the latter will depend not only on the experienced team of specialists implementing this project and the receipt of the necessary funding, but also, first of all, on the success of our defenders in repelling russian aggression.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.272
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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